TreeWAS – [Z00] General examination and investigation of persons without complaint or reported diagnosis

Variant effects

Click on a variant to see its association results.

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Genome-wide Chromosomes: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22

Results table

Variant	Risk posterior probability	No effect posterior probability	Protective posterior probability
rs10973964 lBF = `14.244` Chr`9` : `38,669,362`	0.892	0.108	0.000
rs117120696 lBF = `20.1492` Chr`9` : `81,426,723`	0.887	0.113	0.000
rs79299247 lBF = `13.7264` Chr`9` : `82,970,155`	0.875	0.125	0.000
rs1333005 lBF = `17.474` Chr`9` : `130,042,369`	0.874	0.126	0.000
rs913351 lBF = `10.5594` Chr`9` : `130,033,547`	0.856	0.144	0.000
rs78755596 lBF = `34.803` Chr`9` : `136,124,590`	0.852	0.148	0.000
rs117362775 lBF = `13.8721` Chr`9` : `112,587,101`	0.844	0.156	0.000
rs116961907 lBF = `20.2002` Chr`9` : `28,511,184`	0.829	0.171	0.000
rs117520190 lBF = `16.2172` Chr`9` : `98,903,902`	0.820	0.180	0.000
rs116995584 lBF = `15.4671` Chr`9` : `76,040,600`	0.773	0.227	0.000
rs17857515 lBF = `18.2473` Chr`9` : `32,542,278`	0.767	0.233	0.000
rs117863381 lBF = `15.4135` Chr`9` : `82,517,509`	0.765	0.235	0.000
rs17408309 lBF = `14.2638` Chr`9` : `71,632,265`	0.759	0.241	0.000
rs144087410 lBF = `1.81966` Chr`9` : `5,185,581`	0.745	0.255	0.000
rs117593677 lBF = `14.7112` Chr`9` : `21,318,205`	0.742	0.258	0.000
rs118181102 lBF = `15.8033` Chr`9` : `87,302,491`	0.739	0.261	0.000
rs76909134 lBF = `18.6929` Chr`9` : `138,798,380`	0.728	0.272	0.000
rs73556638 lBF = `15.5477` Chr`9` : `139,034,164`	0.717	0.283	0.000
rs117754409 lBF = `15.5268` Chr`9` : `13,934,924`	0.711	0.289	0.000
rs111600634 lBF = `1.82236` Chr`9` : `120,618,625`	0.705	0.295	0.000
rs16906350 lBF = `1.89955` Chr`9` : `120,618,956`	0.695	0.305	0.000
rs1417290 lBF = `17.5513` Chr`9` : `7,046,917`	0.691	0.309	0.000
rs75004325 lBF = `14.3185` Chr`9` : `73,586,372`	0.689	0.311	0.000
rs77745943 lBF = `12.1624` Chr`9` : `99,034,907`	0.685	0.315	0.000
rs74732462 lBF = `7.95748` Chr`9` : `133,436,054`	0.682	0.318	0.000
rs1175605 lBF = `18.1644` Chr`9` : `95,233,248`	0.679	0.321	0.000
rs79460104 lBF = `15.2248` Chr`9` : `79,610,628`	0.669	0.331	0.000
rs77427150 lBF = `13.5234` Chr`9` : `101,239,130`	0.668	0.332	0.000
rs10283576 lBF = `19.8492` Chr`9` : `88,106,667`	0.665	0.334	0.000
rs147338646 lBF = `5.39391` Chr`9` : `11,812,813`	0.652	0.348	0.000
rs12000567 lBF = `4.07403` Chr`9` : `789,499`	0.649	0.351	0.000
rs77005723 lBF = `23.0241` Chr`9` : `131,211,201`	0.647	0.353	0.000
rs138633335 lBF = `19.1105` Chr`9` : `137,459,325`	0.624	0.376	0.000
rs75622023 lBF = `16.1719` Chr`9` : `28,607,634`	0.621	0.379	0.000
rs72687969 lBF = `5.70085` Chr`9` : `4,104,403`	0.614	0.386	0.000
rs17244432 lBF = `15.3075` Chr`9` : `139,801,662`	0.583	0.417	0.000
rs72746681 lBF = `16.7306` Chr`9` : `88,643,632`	0.576	0.423	0.000
rs7871607 lBF = `24.204` Chr`9` : `85,546,352`	0.568	0.432	0.000
rs77048935 lBF = `15.1563` Chr`9` : `114,316,981`	0.563	0.437	0.000
rs78617806 lBF = `13.7235` Chr`9` : `109,377,753`	0.562	0.438	0.000
rs10758732 lBF = `11.2727` Chr`9` : `5,991,772`	0.555	0.445	0.000
rs118011544 lBF = `16.5306` Chr`9` : `137,236,911`	0.544	0.456	0.000
rs60250264 lBF = `1.93414` Chr`9` : `8,897,187`	0.544	0.456	0.000
rs35303200 lBF = `18.3789` Chr`9` : `82,740,305`	0.544	0.456	0.000
rs16925263 lBF = `17.4118` Chr`9` : `7,060,997`	0.532	0.468	0.000
rs77911647 lBF = `25.709` Chr`9` : `37,580,543`	0.528	0.472	0.001
rs116929209 lBF = `23.964` Chr`9` : `13,692,166`	0.520	0.480	0.000
rs117488235 lBF = `19.2182` Chr`9` : `15,707,430`	0.519	0.480	0.000
rs12336160 lBF = `0.996007` Chr`9` : `33,283,582`	0.505	0.495	0.000
rs7865516 lBF = `23.7461` Chr`9` : `16,113,134`	0.480	0.520	0.000
rs10971170 lBF = `1.70493` Chr`9` : `32,870,068`	0.475	0.524	0.000
rs41314453 lBF = `10.1695` Chr`9` : `136,307,825`	0.003	0.541	0.456
rs55760117 lBF = `18.9306` Chr`9` : `129,740,272`	0.458	0.542	0.000
rs34634894 lBF = `20.2004` Chr`9` : `82,652,022`	0.442	0.558	0.000
rs117499721 lBF = `28.8784` Chr`9` : `116,579,948`	0.442	0.558	0.000
rs74776058 lBF = `16.3733` Chr`9` : `30,014,333`	0.441	0.558	0.000
rs117759827 lBF = `8.85751` Chr`9` : `34,400,980`	0.437	0.563	0.000
rs117540688 lBF = `12.0488` Chr`9` : `6,064,428`	0.436	0.564	0.000
rs10993738 lBF = `0.58737` Chr`9` : `93,633,240`	0.424	0.576	0.000
rs41280725 lBF = `19.7128` Chr`9` : `5,469,654`	0.412	0.588	0.000
rs78593318 lBF = `12.9921` Chr`9` : `2,491,638`	0.397	0.603	0.000
rs62571477 lBF = `27.2395` Chr`9` : `137,865,056`	0.394	0.606	0.000
rs76718115 lBF = `14.4603` Chr`9` : `112,413,997`	0.391	0.608	0.000
rs16928280 lBF = `6.01786` Chr`9` : `8,695,233`	0.375	0.624	0.000
rs72756269 lBF = `20.6952` Chr`9` : `119,147,710`	0.374	0.626	0.000
rs76153552 lBF = `18.1323` Chr`9` : `95,913,866`	0.371	0.629	0.000
rs111571219 lBF = `14.5965` Chr`9` : `102,420,794`	0.365	0.635	0.000
rs78199931 lBF = `17.2832` Chr`9` : `140,865,334`	0.363	0.637	0.000
rs117571560 lBF = `14.6503` Chr`9` : `76,169,871`	0.362	0.637	0.000
rs56065549 lBF = `11.9825` Chr`9` : `95,906,364`	0.361	0.639	0.000
rs118036720 lBF = `22.9077` Chr`9` : `5,408,587`	0.348	0.652	0.000
rs12342947 lBF = `20.0509` Chr`9` : `7,026,860`	0.343	0.657	0.000
rs74304768 lBF = `17.1946` Chr`9` : `79,606,878`	0.343	0.657	0.000
rs7024058 lBF = `17.5874` Chr`9` : `1,938,082`	0.323	0.677	0.000
rs74862371 lBF = `16.8875` Chr`9` : `7,028,832`	0.312	0.688	0.000
rs113989315 lBF = `8.44186` Chr`9` : `7,086,245`	0.304	0.696	0.000
rs72755182 lBF = `11.8699` Chr`9` : `126,214,819`	0.292	0.708	0.000
rs10114038 lBF = `1.31177` Chr`9` : `127,327,763`	0.290	0.710	0.000
rs78119065 lBF = `14.991` Chr`9` : `1,833,972`	0.288	0.712	0.000
rs4877801 lBF = `12.8244` Chr`9` : `86,337,432`	0.285	0.715	0.000
rs75056204 lBF = `8.7084` Chr`9` : `76,174,850`	0.280	0.720	0.001
rs75864858 lBF = `12.2329` Chr`9` : `20,141,558`	0.273	0.727	0.000
rs1038195 lBF = `18.4342` Chr`9` : `137,855,660`	0.265	0.735	0.000
rs75125430 lBF = `16.6037` Chr`9` : `24,472,623`	0.263	0.737	0.000
rs117926975 lBF = `4.43495` Chr`9` : `97,358,141`	0.242	0.758	0.000
rs72745135 lBF = `15.0573` Chr`9` : `78,973,431`	0.240	0.759	0.000
rs62574559 lBF = `13.3756` Chr`9` : `96,366,133`	0.240	0.760	0.000
rs34390775 lBF = `10.8706` Chr`9` : `140,702,339`	0.234	0.766	0.000
rs16925298 lBF = `10.4186` Chr`9` : `7,081,674`	0.226	0.774	0.000
rs186821245 lBF = `0.265221` Chr`9` : `136,606,035`	0.220	0.780	0.000
rs80001694 lBF = `12.7976` Chr`9` : `120,105,508`	0.207	0.793	0.000
rs185095244 lBF = `0.251196` Chr`9` : `8,766,114`	0.205	0.795	0.000
rs116919233 lBF = `14.0946` Chr`9` : `119,991,655`	0.193	0.807	0.000
rs17433526 lBF = `9.94738` Chr`9` : `131,912,341`	0.184	0.816	0.000
rs77437704 lBF = `13.6847` Chr`9` : `79,623,352`	0.178	0.822	0.000
rs73387635 lBF = `15.4845` Chr`9` : `1,814,698`	0.174	0.826	0.000
rs62531470 lBF = `1.6886` Chr`9` : `540,319`	0.167	0.832	0.000
rs111958418 lBF = `20.8287` Chr`9` : `22,219,565`	0.151	0.849	0.000
rs142944815 lBF = `2.59871` Chr`9` : `8,773,566`	0.148	0.851	0.000
rs78296588 lBF = `15.8425` Chr`9` : `102,305,131`	0.147	0.852	0.000
rs74729480 lBF = `14.6486` Chr`9` : `137,375,254`	0.134	0.866	0.000
rs4979462 lBF = `0.196688` Chr`9` : `117,567,013`	0.124	0.876	0.000
rs11539570 lBF = `10.2471` Chr`9` : `131,084,628`	0.117	0.883	0.000
rs78608331 lBF = `12.388` Chr`9` : `13,257,251`	0.116	0.884	0.000
rs117217495 lBF = `16.3591` Chr`9` : `24,538,142`	0.116	0.884	0.000
rs117196480 lBF = `16.5445` Chr`9` : `101,301,307`	0.115	0.885	0.000
rs75087119 lBF = `17.2273` Chr`9` : `7,426,671`	0.111	0.889	0.000
rs117091812 lBF = `12.7428` Chr`9` : `81,272,613`	0.107	0.893	0.000
rs73644982 lBF = `13.9807` Chr`9` : `32,523,117`	0.106	0.894	0.000
rs117933286 lBF = `14.503` Chr`9` : `81,306,530`	0.103	0.897	0.000
rs77322120 lBF = `13.2546` Chr`9` : `101,171,443`	0.099	0.901	0.000
rs118156051 lBF = `16.9077` Chr`9` : `103,381,388`	0.096	0.904	0.000
rs72748988 lBF = `19.0653` Chr`9` : `92,041,530`	0.078	0.922	0.000
rs1968498 lBF = `9.0386` Chr`9` : `86,696,174`	0.068	0.932	0.000
rs11789912 lBF = `15.8406` Chr`9` : `130,605,739`	0.068	0.932	0.000
rs117869101 lBF = `21.0144` Chr`9` : `84,429,893`	0.059	0.941	0.000
rs77418183 lBF = `12.5886` Chr`9` : `21,929,486`	0.056	0.944	0.000
rs10968749 lBF = `6.84227` Chr`9` : `28,752,484`	0.054	0.945	0.000
rs56281909 lBF = `11.3432` Chr`9` : `4,418,821`	0.043	0.957	0.000
rs73651380 lBF = `7.08215` Chr`9` : `95,984,199`	0.042	0.958	0.000
rs3731249 lBF = `12.0614` Chr`9` : `21,970,916`	0.036	0.963	0.000
rs10491777 lBF = `15.847` Chr`9` : `14,352,001`	0.036	0.964	0.000
rs1907805 lBF = `7.59783` Chr`9` : `94,451,965`	0.036	0.964	0.000
rs112625050 lBF = `7.07883` Chr`9` : `9,695,050`	0.036	0.964	0.000
rs55856550 lBF = `15.678` Chr`9` : `22,364,370`	0.035	0.965	0.000
rs7028529 lBF = `5.37797` Chr`9` : `79,228,042`	0.034	0.966	0.000
rs58680346 lBF = `5.13866` Chr`9` : `7,604,965`	0.031	0.969	0.000
rs117415762 lBF = `13.5576` Chr`9` : `77,698,356`	0.031	0.969	0.000
rs184522131 lBF = `1.69043` Chr`9` : `90,177,521`	0.029	0.970	0.001
rs76662872 lBF = `8.28126` Chr`9` : `78,995,731`	0.028	0.972	0.000
rs78284770 lBF = `17.3311` Chr`9` : `91,652,587`	0.024	0.976	0.000
rs79531373 lBF = `9.31927` Chr`9` : `137,906,597`	0.023	0.977	0.000
rs76733568 lBF = `27.8026` Chr`9` : `24,659,540`	0.021	0.979	0.000
rs803927 lBF = `7.65919` Chr`9` : `119,403,611`	0.020	0.980	0.000
rs1003858 lBF = `0.0123863` Chr`9` : `118,964,955`	0.019	0.981	0.000
rs79791727 lBF = `11.6893` Chr`9` : `36,801,459`	0.019	0.981	0.000
rs117260909 lBF = `0.304807` Chr`9` : `3,195,775`	0.017	0.982	0.000
rs76260868 lBF = `20.5517` Chr`9` : `80,422,239`	0.017	0.983	0.000
rs12348435 lBF = `1.11569` Chr`9` : `28,600,142`	0.016	0.984	0.000
rs7042161 lBF = `-0.072154` Chr`9` : `113,197,263`	0.016	0.984	0.000
rs113607577 lBF = `0.0172672` Chr`9` : `77,455,459`	0.015	0.984	0.000
rs12000457 lBF = `0.0170966` Chr`9` : `86,944,425`	0.015	0.985	0.000
rs76605533 lBF = `18.0219` Chr`9` : `100,624,553`	0.015	0.985	0.000
rs10984730 lBF = `5.19571` Chr`9` : `100,766,795`	0.014	0.986	0.000
rs1360809 lBF = `18.9852` Chr`9` : `121,399,229`	0.014	0.986	0.000
rs187979858 lBF = `0.0135995` Chr`9` : `136,600,098`	0.013	0.987	0.000
rs78912274 lBF = `19.3426` Chr`9` : `11,274,294`	0.012	0.988	0.000
rs755383 lBF = `0.812628` Chr`9` : `863,635`	0.000	0.988	0.012
rs59541686 lBF = `7.3156` Chr`9` : `71,815,966`	0.012	0.988	0.000
rs138901640 lBF = `-0.00500691` Chr`9` : `120,793,765`	0.012	0.988	0.000
rs77528658 lBF = `12.135` Chr`9` : `104,204,920`	0.011	0.989	0.000
rs7040024 lBF = `-0.0219784` Chr`9` : `845,516`	0.011	0.989	0.000
rs74521173 lBF = `5.66609` Chr`9` : `28,604,008`	0.011	0.989	0.000
rs41277101 lBF = `5.09532` Chr`9` : `36,337,253`	0.010	0.990	0.000
rs111873027 lBF = `0.00829232` Chr`9` : `126,953,640`	0.010	0.990	0.000
rs114356520 lBF = `0.0111969` Chr`9` : `112,128,998`	0.009	0.991	0.000
rs11138290 lBF = `0.243198` Chr`9` : `82,163,313`	0.008	0.992	0.000
rs56190763 lBF = `13.9754` Chr`9` : `91,343,917`	0.008	0.992	0.000
rs16918683 lBF = `6.04179` Chr`9` : `102,464,999`	0.008	0.992	0.000
rs72758841 lBF = `0.00678835` Chr`9` : `131,475,583`	0.008	0.992	0.000
rs73628692 lBF = `4.97563` Chr`9` : `132,349,597`	0.007	0.992	0.000
rs7045640 lBF = `0.303315` Chr`9` : `2,978,377`	0.007	0.992	0.000
rs817858 lBF = `4.65645` Chr`9` : `110,125,811`	0.007	0.993	0.000
rs80234524 lBF = `8.67109` Chr`9` : `102,716,279`	0.007	0.993	0.000
rs10983554 lBF = `8.75815` Chr`9` : `119,918,601`	0.000	0.993	0.007
rs117233030 lBF = `16.6065` Chr`9` : `14,348,774`	0.005	0.995	0.000
rs118043898 lBF = `0.0258933` Chr`9` : `24,431,792`	0.005	0.995	0.000
rs79481790 lBF = `5.06567` Chr`9` : `73,702,520`	0.005	0.995	0.000
rs139863644 lBF = `0.00339663` Chr`9` : `5,972,759`	0.005	0.995	0.000
rs55721418 lBF = `20.0497` Chr`9` : `133,913,740`	0.005	0.995	0.000
rs2150702 lBF = `0.399886` Chr`9` : `5,893,861`	0.004	0.996	0.000
rs7851726 lBF = `0.703435` Chr`9` : `97,503,985`	0.004	0.996	0.000
rs10815355 lBF = `0.00477494` Chr`9` : `622,523`	0.004	0.996	0.000
rs7045620 lBF = `14.6764` Chr`9` : `137,836,809`	0.004	0.996	0.000
rs17461620 lBF = `0.49764` Chr`9` : `88,963,008`	0.000	0.996	0.004
rs142965926 lBF = `0.0469266` Chr`9` : `136,618,128`	0.004	0.996	0.000
rs118096183 lBF = `6.77798` Chr`9` : `5,772,424`	0.004	0.996	0.000
rs12686544 lBF = `13.3753` Chr`9` : `105,868,318`	0.004	0.996	0.000
rs114646018 lBF = `0.00725446` Chr`9` : `18,890,061`	0.003	0.996	0.000
rs9695226 lBF = `-0.00986366` Chr`9` : `22,759,396`	0.003	0.997	0.000
rs58950125 lBF = `19.7195` Chr`9` : `10,382,986`	0.003	0.997	0.000
rs143639284 lBF = `0.00187276` Chr`9` : `5,140,958`	0.003	0.997	0.000
rs80321149 lBF = `13.0616` Chr`9` : `16,150,000`	0.003	0.997	0.000
rs7863943 lBF = `13.4081` Chr`9` : `100,306,204`	0.003	0.997	0.000
rs7864133 lBF = `0.00190717` Chr`9` : `84,053,686`	0.002	0.997	0.000
rs2515629 lBF = `-0.0149636` Chr`9` : `107,594,364`	0.000	0.997	0.003
rs881375 lBF = `-0.012193` Chr`9` : `123,652,898`	0.000	0.997	0.003
rs150484890 lBF = `2.77875` Chr`9` : `6,643,981`	0.002	0.997	0.000
rs190548934 lBF = `0.0317221` Chr`9` : `122,233,590`	0.002	0.998	0.000
rs1953126 lBF = `0.00906134` Chr`9` : `123,640,500`	0.000	0.998	0.002
rs75585141 lBF = `14.4069` Chr`9` : `13,387,483`	0.002	0.998	0.000
rs16925898 lBF = `18.5128` Chr`9` : `10,372,027`	0.002	0.998	0.000
rs75196982 lBF = `11.4824` Chr`9` : `38,110,302`	0.002	0.998	0.000
rs74308953 lBF = `0.00117694` Chr`9` : `121,431,189`	0.002	0.998	0.000
rs78925264 lBF = `0.599859` Chr`9` : `9,015,087`	0.002	0.998	0.000
rs6476030 lBF = `0.00137645` Chr`9` : `289,061`	0.002	0.998	0.000
rs117000167 lBF = `0.00350061` Chr`9` : `124,678,821`	0.002	0.998	0.000
rs3731217 lBF = `0.0725148` Chr`9` : `21,984,661`	0.002	0.998	0.000
rs11138220 lBF = `0.0232714` Chr`9` : `82,060,528`	0.002	0.998	0.000
rs182700414 lBF = `0.00117781` Chr`9` : `121,971,770`	0.001	0.998	0.000
rs71507014 lBF = `0.0350726` Chr`9` : `73,438,605`	0.002	0.998	0.000
rs7021404 lBF = `0.00087256` Chr`9` : `25,414,051`	0.001	0.998	0.000
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rs586716 lBF = `-0.0583965` Chr`9` : `22,488,678`	0.000	1.000	0.000
rs1535480 lBF = `-0.0655907` Chr`9` : `7,925,381`	0.000	1.000	0.000
rs3750552 lBF = `-0.0872866` Chr`9` : `71,943,002`	0.000	1.000	0.000
rs16920433 lBF = `8.50913` Chr`9` : `4,032,693`	0.000	1.000	0.000
rs28377268 lBF = `0.300067` Chr`9` : `98,225,056`	0.000	1.000	0.000
rs35061590 lBF = `0.116328` Chr`9` : `124,476,013`	0.000	1.000	0.000
rs12346772 lBF = `0.010182` Chr`9` : `113,920,599`	0.000	1.000	0.000
rs1626340 lBF = `-0.00537963` Chr`9` : `101,923,372`	0.000	1.000	0.000
rs10760649 lBF = `-0.0501117` Chr`9` : `132,714,968`	0.000	1.000	0.000
rs4741343 lBF = `-0.0639454` Chr`9` : `14,075,095`	0.000	1.000	0.000
rs4246856 lBF = `-0.0650172` Chr`9` : `24,092,072`	0.000	1.000	0.000
rs505922 lBF = `162.562` Chr`9` : `136,149,229`	0.000	1.000	0.000
rs72752974 lBF = `6.14767` Chr`9` : `92,516,854`	0.000	1.000	0.000
rs10821415 lBF = `0.997759` Chr`9` : `97,713,459`	0.000	1.000	0.000
rs17241164 lBF = `0.0322381` Chr`9` : `9,857,448`	0.000	1.000	0.000
rs10980854 lBF = `-0.0365583` Chr`9` : `114,050,357`	0.000	1.000	0.000
rs640850 lBF = `-0.0404403` Chr`9` : `29,536,618`	0.000	1.000	0.000
rs1984119 lBF = `-0.0575627` Chr`9` : `98,368,761`	0.000	1.000	0.000
rs7852872 lBF = `-0.0654586` Chr`9` : `119,249,339`	0.000	1.000	0.000
rs4877691 lBF = `-0.0770265` Chr`9` : `84,982,398`	0.000	1.000	0.000
rs10817758 lBF = `1.33282` Chr`9` : `118,143,933`	0.000	1.000	0.000
rs961831 lBF = `0.0355171` Chr`9` : `22,362,104`	0.000	1.000	0.000
rs10818606 lBF = `0.0263398` Chr`9` : `124,618,386`	0.000	1.000	0.000
rs150611042 lBF = `0.00705816` Chr`9` : `117,083,803`	0.000	1.000	0.000
rs2072438 lBF = `-0.0292948` Chr`9` : `123,651,301`	0.000	1.000	0.000
rs10512385 lBF = `-0.0338249` Chr`9` : `111,455,575`	0.000	1.000	0.000
rs12352894 lBF = `-0.0786911` Chr`9` : `38,197,384`	0.000	1.000	0.000
rs79300279 lBF = `6.41012` Chr`9` : `6,133,663`	0.000	1.000	0.000
rs1329568 lBF = `0.024609` Chr`9` : `37,037,976`	0.000	1.000	0.000
rs3802457 lBF = `0.0160534` Chr`9` : `97,741,336`	0.000	1.000	0.000
rs139475366 lBF = `0.00703853` Chr`9` : `100,273,497`	0.000	1.000	0.000
rs4149310 lBF = `-0.060739` Chr`9` : `107,589,134`	0.000	1.000	0.000
rs10989019 lBF = `-0.0612651` Chr`9` : `102,976,541`	0.000	1.000	0.000
rs10757269 lBF = `323.969` Chr`9` : `22,072,264`	0.000	1.000	0.000
rs3933796 lBF = `7.86721` Chr`9` : `96,185,405`	0.000	1.000	0.000
rs12378793 lBF = `6.11146` Chr`9` : `79,613,935`	0.000	1.000	0.000
rs75059066 lBF = `5.824` Chr`9` : `14,373,551`	0.000	1.000	0.000
rs118142265 lBF = `1.58801` Chr`9` : `132,194,033`	0.000	1.000	0.000
rs649891 lBF = `0.0337293` Chr`9` : `10,430,602`	0.000	1.000	0.000
rs4743820 lBF = `0.00585076` Chr`9` : `93,928,416`	0.000	1.000	0.000
rs10818854 lBF = `0.00070567` Chr`9` : `126,446,778`	0.000	1.000	0.000
rs10980800 lBF = `-0.0244319` Chr`9` : `113,915,905`	0.000	1.000	0.000
rs10811771 lBF = `-0.0493905` Chr`9` : `22,770,886`	0.000	1.000	0.000
rs11139399 lBF = `-0.0499139` Chr`9` : `84,372,741`	0.000	1.000	0.000
rs1889899 lBF = `-0.10378` Chr`9` : `26,789,940`	0.000	1.000	0.000
rs979203 lBF = `10.0324` Chr`9` : `13,730,665`	0.000	1.000	0.000
rs7853605 lBF = `7.60017` Chr`9` : `96,213,529`	0.000	1.000	0.000
rs7870863 lBF = `1.63679` Chr`9` : `11,136,285`	0.000	1.000	0.000
rs7847231 lBF = `0.141595` Chr`9` : `118,209,071`	0.000	1.000	0.000
rs16910061 lBF = `0.067114` Chr`9` : `97,314,741`	0.000	1.000	0.000
rs72724928 lBF = `-0.00324103` Chr`9` : `28,024,194`	0.000	1.000	0.000
rs7853287 lBF = `-0.0569396` Chr`9` : `117,549,327`	0.000	1.000	0.000
rs1998303 lBF = `-0.0731985` Chr`9` : `85,414,981`	0.000	1.000	0.000
rs612169 lBF = `158.629` Chr`9` : `136,143,442`	0.000	1.000	0.000
rs687621 lBF = `157.152` Chr`9` : `136,137,065`	0.000	1.000	0.000
rs751173 lBF = `9.36707` Chr`9` : `21,707,372`	0.000	1.000	0.000
rs3025343 lBF = `5.75082` Chr`9` : `136,478,355`	0.000	1.000	0.000
rs8190560 lBF = `0.444887` Chr`9` : `99,002,185`	0.000	1.000	0.000
rs290986 lBF = `0.261516` Chr`9` : `93,563,536`	0.000	1.000	0.000
rs2210430 lBF = `0.0966713` Chr`9` : `25,501,297`	0.000	1.000	0.000
rs1360517 lBF = `0.0789714` Chr`9` : `13,007,129`	0.000	1.000	0.000
rs817300 lBF = `0.0661919` Chr`9` : `98,380,222`	0.000	1.000	0.000
rs12375901 lBF = `0.0451008` Chr`9` : `23,035,987`	0.000	1.000	0.000
rs71321217 lBF = `0.03113` Chr`9` : `10,036,568`	0.000	1.000	0.000
rs4879926 lBF = `0.0141498` Chr`9` : `35,700,837`	0.000	1.000	0.000
rs2805062 lBF = `0.0124346` Chr`9` : `24,560,577`	0.000	1.000	0.000
rs1325154 lBF = `0.00855956` Chr`9` : `12,582,565`	0.000	1.000	0.000
rs3812570 lBF = `0.00062406` Chr`9` : `139,275,204`	0.000	1.000	0.000
rs57994353 lBF = `-0.0119348` Chr`9` : `139,356,987`	0.000	1.000	0.000
rs10968576 lBF = `-0.0190386` Chr`9` : `28,414,339`	0.000	1.000	0.000
rs2151145 lBF = `-0.0319378` Chr`9` : `82,345,881`	0.000	1.000	0.000
rs2026714 lBF = `-0.0344237` Chr`9` : `7,177,284`	0.000	1.000	0.000
rs320209 lBF = `-0.0483587` Chr`9` : `104,944,755`	0.000	1.000	0.000
rs1757948 lBF = `-0.0515205` Chr`9` : `81,310,680`	0.000	1.000	0.000
rs80124314 lBF = `6.72987` Chr`9` : `30,283,216`	0.000	1.000	0.000
rs10962088 lBF = `6.0293` Chr`9` : `15,591,699`	0.000	1.000	0.000
rs72737088 lBF = `5.75905` Chr`9` : `75,863,247`	0.000	1.000	0.000
rs79987207 lBF = `5.41608` Chr`9` : `100,963,977`	0.000	1.000	0.000
rs11790131 lBF = `3.61426` Chr`9` : `19,469,846`	0.000	1.000	0.000
rs150066336 lBF = `2.1353` Chr`9` : `13,475,446`	0.000	1.000	0.000
rs1535459 lBF = `0.239679` Chr`9` : `10,550,204`	0.000	1.000	0.000
rs13290997 lBF = `0.0788385` Chr`9` : `119,314,217`	0.000	1.000	0.000
rs17481720 lBF = `0.0076358` Chr`9` : `131,889,294`	0.000	1.000	0.000
rs7861963 lBF = `-0.0038932` Chr`9` : `128,178,907`	0.000	1.000	0.000
rs10867921 lBF = `-0.0173266` Chr`9` : `85,609,781`	0.000	1.000	0.000
rs10989661 lBF = `-0.0175431` Chr`9` : `104,622,868`	0.000	1.000	0.000
rs17641078 lBF = `-0.0207988` Chr`9` : `1,056,959`	0.000	1.000	0.000
rs10965890 lBF = `-0.0240333` Chr`9` : `23,516,288`	0.000	1.000	0.000
rs4149263 lBF = `-0.0331005` Chr`9` : `107,677,289`	0.000	1.000	0.000
rs11790388 lBF = `-0.0353163` Chr`9` : `129,740,283`	0.000	1.000	0.000
rs10815925 lBF = `-0.0813009` Chr`9` : `8,712,601`	0.000	1.000	0.000
rs11244035 lBF = `23.8973` Chr`9` : `136,081,319`	0.000	1.000	0.000
rs581080 lBF = `8.38946` Chr`9` : `15,305,378`	0.000	1.000	0.000
rs10965243 lBF = `6.81858` Chr`9` : `22,130,065`	0.000	1.000	0.000
rs12000445 lBF = `0.912959` Chr`9` : `23,426,271`	0.000	1.000	0.000
rs60589809 lBF = `0.550744` Chr`9` : `92,937,726`	0.000	1.000	0.000

This table lists the top 500 variants ordered by p(effect).

The full results table can be downloaded from this page.

Variant clusters with highest protective effect

(posterior probability > 0.05)

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.2543

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.0829

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9998

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9990

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.9987

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.9980

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9976

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.9957

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9943

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9936

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.9930

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.9928

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9925

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9888

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9865

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9823

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9805

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.9804

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9733

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.9720

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.9681

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9662

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9499

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9433

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.9409

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.9394

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.9393

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9350

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.9249

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9162

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9109

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.9093

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.9090

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.9038

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.9026

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.8974

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.8911

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.8905

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.8881

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.8720

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.8706

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.8703

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.8555

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.8510

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.8496

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.8494

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.8459

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.8416

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.8346

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.8332

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.8318

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.8290

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.8236

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.8200

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.8198

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.8197

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.8163

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.8142

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.7972

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.7937

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.7880

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7874

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7853

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.7826

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.7799

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.7789

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.7738

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.7734

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7726

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.7668

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7590

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.7480

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.7420

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.7391

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7151

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7065

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.6860

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6761

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.6734

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.6505

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.6455

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.6369

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.6306

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.6223

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.6107

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.6017

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.6011

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.5997

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.5752

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.5724

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.5660

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.5545

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.5545

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.5538

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.5427

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.5342

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.5106

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.5018

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.4870

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.4754

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.4696

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.4693

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.4580

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.4452

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.4396

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.4283

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.4237

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.4154

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.4094

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.3816

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.3762

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.3613

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.3579

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.3532

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.3477

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.2904

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.2796

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.2651

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.2509

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.2498

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.2417

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.2331

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.2231

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.2209

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.1753

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.1529

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.1499

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.1341

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.1298

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.1106

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.1104

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.0961

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.0949

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.0902

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.0521

The TreeWAS Database is the result of research conducted at the Oxford Big Data Institute at the University of Oxford.

This research has been conducted using the UK Biobank Resource (application number 10625). This work uses data provided by patients and collected by the NHS as part of their care and support.

This research has been conducted with the support of the Wellcome Trust (100956/Z/13/Z and 090532/Z/09/Z and 100308/Z/12/Z), the Danish National Research Foundation, Takeda, the Medical Research Council (MC_UU_12010/3), the Oak Foundation (OCAY-15-520), the National Institute for Health Research (NIHR) Oxford Biomedical Research Centre (BRC), the Wellcome Trust/Royal Society (204290/Z/16/Z) and the Li Ka Shing Foundation.

Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

(posterior probability > 0.05)

(posterior probability > 0.05)

Diagnostic term associations

Hospitalization Episode Statistics (HES)

(posterior probability > 0.05)

(posterior probability > 0.05)

Hospitalization Episode Statistics (`HES`)